Polybot: Training one policy across robots while embracing variability

J Yang, D Sadigh, C Finn - arXiv preprint arXiv:2307.03719, 2023 - arxiv.org
Reusing large datasets is crucial to scale vision-based robotic manipulators to everyday
scenarios due to the high cost of collecting robotic datasets. However, robotic platforms …
被引用次数：9 相关文章

Polybot: Training One Policy Across Robots While Embracing Variability

JH Yang, D Sadigh, C Finn - 7th Annual Conference on Robot Learning - openreview.net
Reusing large datasets is crucial to scale vision-based robotic manipulators to everyday
scenarios due to the high cost of collecting robotic datasets. However, robotic platforms …

Polybot: Training One Policy Across Robots While Embracing Variability

J Yang, D Sadigh, C Finn - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Reusing large datasets is crucial to scale vision-based robotic manipulators to everyday
scenarios due to the high cost of collecting robotic datasets. However, robotic platforms …

Polybot: Training One Policy Across Robots While Embracing Variability

JH Yang, D Sadigh, C Finn - Conference on Robot Learning, 2023 - proceedings.mlr.press
Reusing large datasets is crucial to scale vision-based robotic manipulators to everyday
scenarios due to the high cost of collecting robotic datasets. However, robotic platforms …